KR102232807B1 - System for providing infectionus disease management application - Google Patents

Abstract

The present invention relates to a system for providing an infectious disease management application, which provides an infectious disease management application to a user terminal. The system comprises: a terminal used by a user and capable of communicating through a wired or wireless communication network; and an integrated management server providing the infectious disease management application to the user terminal, and providing the infectious disease management application including a function to predict the number of confirmed cases by country for a specific infectious disease, a function to predict the number of confirmed cases by region, a self-diagnosis function, a function to evaluate the reliability of articles and posts related to the infectious disease, and a function to notify whether to quarantine and sanitation in public places. According to the present invention, the system has an effect of promptly preventing the spread of the infectious disease by responding to and preventing the infectious disease such as Corona 19 through the infectious disease management application.

Description

System for providing infectionus disease management application

The present invention relates to an application providing technology, and more particularly, to an application providing technology for providing prevention, management, and response services for infectious diseases including infectious diseases.

After the first confirmed cases of Corona 19, which has recently caused a pandemic around the world, it has spread rapidly, affecting not only the daily life of the people but also the economy and society of the country as a whole. Due to the global spread of Corona 19, public anxiety and fear are accelerating, and various problems such as a lack of medical staff, the problem of stocking up masks, the avoidance of the place to visit the confirmed patient, and the reconfirmation of the cured patient are occurring. In addition, there is a possibility that a new, strong infectious disease that has not been encountered until now, such as Corona 19, may occur again in the future. In order to be able to respond to this phenomenon in the long term, it is necessary to prepare for future disease response from now on.

As a technology that can contribute to public safety from these infectious diseases, AI can play a big role. It is already using AI based on high-performance computing resources to quickly learn and analyze vast amounts of data through online news, blogs, and SNS. This can analyze issues and people's psychology from various angles, and is the basis for decision-making based on reasoning. Therefore, there is a need for a method to systematically respond to future infectious diseases such as Corona 19 in the post-corona era.

Korean Patent Registration 10-1959615

The present invention has been devised to solve the above problems, a function of predicting the number of confirmed cases by country and region, a self-diagnosis function using AI-based lie detection, a reliability score evaluation function of articles and posts, Its purpose is to provide a system for providing an infectious disease management application that includes a notification function for quarantine and hygiene management in public places.

The object of the present invention is not limited to the above-mentioned object, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

The present invention for achieving the above object relates to a system for providing an infectious disease management application that provides an infectious disease management application to a user terminal, and as a terminal used by a user, a user terminal capable of communicating through a wired or wireless communication network and an infectious disease management in the user terminal As a server that provides an application, it has a function of predicting confirmed cases by country for specific infectious diseases, a function of predicting confirmed cases by region in Korea, a self-diagnosis function, a function of evaluating the reliability of articles and posts related to the infectious disease, and a notification function of quarantine and sanitation in public places It includes an integrated management server that provides an infectious disease management application including.

The integrated management server analyzes related data including the number of entrants in each country, diagnosis information for each country, floating population for each country, news articles for each country, and social network service data for each country to predict the confirmed cases for each country. In this way, the function of predicting confirmed cases by country can be provided.

The infectious disease management application providing system includes a country-specific data input terminal for collecting data necessary for predicting confirmed cases for each country and transmitting it to a country-specific confirmed case prediction server, and the data received from the country-specific data input terminal. It may further include a country-specific confirmed case prediction server for generating a neural network model to predict a country-specific confirmed case, and providing country-specific country-specific prediction information to the user terminal and the integrated management server.

The integrated management server includes related data including the number of overseas entrants in each region, the incidence rate of group meetings in each region, the increase rate of confirmed persons by region, domestic news and articles, the amount of movement through vehicles and other means of transportation by region, and the amount of movement of people through satellites. Analysis can provide a function for predicting confirmed cases by region in Korea.

The infectious disease management application providing system includes a regional data input terminal for collecting data necessary for predicting confirmed cases for each region and transmitting it to a domestic regional confirmed case prediction server, and a neural network model for data received from the regional data input terminal. It may further include a domestic region-specific confirmed person prediction server that generates and predicts a confirmed person for each domestic region, and provides the user terminal and the integrated management server with information about the domestic region-specific confirmed person.

In order to implement the notification function of quarantine and hygiene management in public places, the integrated management server has quarantine status in each public place, whether visitors and staff check heat, whether visitors and staff wear masks, hand disinfection when entering, and the degree of distance maintenance. It is possible to provide a notification function for public place quarantine and hygiene management by analyzing related data including hygiene management status and information update period data in each public place including.

The infectious disease management application providing system receives information related to quarantine and hygiene management from public institutions, updates quarantine and sanitation management information in real time, and whether or not the public institution's quarantine and hygiene management is based on geographic information at the request of the user terminal. It may further include a quarantine management server that provides information on and provides safety levels for quarantine and hygiene management of the public institution using AI.

According to the present invention, by responding to and preventing infectious diseases such as Corona 19 through an infectious disease management application, there is an effect of quickly preventing and preventing the spread of infectious diseases.

1 is a conceptual diagram showing the configuration of an infectious disease management application providing system according to an embodiment of the present invention.
2 and 3 are diagrams for explaining a function of predicting the number of confirmed patients in the system for providing an infectious disease management application according to an embodiment of the present invention.
4 is a flowchart illustrating a method of predicting the number of confirmed patients in the system for providing an infectious disease management application according to an embodiment of the present invention.
FIG. 5 is a diagram for explaining a function of notifying whether public places quarantine and hygiene management exist in a system for providing an infectious disease management application according to an embodiment of the present invention.
6 to 8 are flowcharts illustrating a method of notifying whether public places quarantine and hygiene management exist in a system for providing an infectious disease management application according to an embodiment of the present invention.
9 to 12 are screen examples of a user terminal according to an embodiment of the present invention.

Advantages and features of the embodiments disclosed in the present specification, and a method of achieving them will become apparent with reference to the embodiments described later together with the accompanying drawings. However, the embodiments to be proposed in the present disclosure are not limited to the embodiments disclosed below, but may be implemented in a variety of different forms, and only these embodiments are provided to those of ordinary skill in the art. It is provided only to fully inform the category.

The terms used in the present specification will be briefly described, and the disclosed embodiments will be described in detail.

Terms used in the present specification have selected general terms that are currently widely used as possible while considering the functions of the disclosed embodiments, but this may vary according to the intention or precedent of a technician engaged in a related field, the emergence of new technologies, and the like. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning of the terms will be described in detail in the detailed description of the corresponding specification. Therefore, the terms used in the present disclosure should be defined based on the meaning of the term and the overall contents of the present specification, not a simple name of the term.

In the present specification, expressions in the singular include plural expressions unless the context clearly specifies that they are in the singular.

When a part of the specification is said to "include" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary. In addition, the term "unit" used in the specification refers to a hardware component such as software, FPGA, or ASIC, and "unit" performs certain roles. However, "unit" is not meant to be limited to software or hardware. The “unit” may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors. Thus, as an example, "unit" refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, Includes subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables. The functions provided within the components and "units" may be combined into a smaller number of components and "units" or may be further separated into additional components and "units".

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the present invention, when it is determined that a detailed description of a related known technology may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

The present invention relates to an infectious disease management application providing system for providing an infectious disease management application to a user terminal.

1 is a conceptual diagram showing the configuration of an infectious disease management application providing system according to an embodiment of the present invention.

Referring to FIG. 1, the system for providing an infectious disease management application of the present invention includes a user terminal 10, an integrated management server 100, a country-specific confirmed case prediction server 200, a domestic area-specific confirmed case prediction server 300, and quarantine management. It includes a server 400, a data input terminal 500 for each country, and a data input terminal 600 for each region.

The user terminal 10 is a terminal used by a user, and is a terminal capable of communicating through a wired or wireless communication network. For example, the user terminal 10 may be implemented as a mobile communication terminal such as a smartphone or a tablet PC.

The integrated management server 100 is a server that provides an infectious disease management application to the user terminal 10, a function for predicting confirmed cases by country for a specific infectious disease, a function for predicting confirmed cases by region in Korea, a self-diagnosis function, and articles and posts related to the infectious disease. It provides an infectious disease management application that includes a reliability evaluation function and a notification function for quarantine and hygiene management in public places.

In an embodiment of the present invention, a thermal imaging camera for performing a self-diagnosis function may be further included. In this case, a function of automatically performing thermal measurement using a thermal imaging camera for every self-diagnosis every day may be added.

The integrated management server 100 analyzes related data including the number of entrants in each country, diagnosis information for each country, floating population for each country, news articles for each country, and social network service data for each country to confirm each country. It is possible to provide a function for predicting confirmed cases by country by predicting the person.

The integrated management server 100 includes the number of overseas entrants in each region, the incidence of group meetings in each region, the increase rate of confirmed patients by region, domestic news and articles, the amount of movement through vehicles and other means of transportation by region, and the amount of movement of people through satellites. By analyzing related data, it is possible to provide a function for predicting confirmed cases by region in Korea.

The integrated management server 100 is to implement a function of notification of quarantine and hygiene management in public places, whether or not each public place is quarantined, whether visitors and employees check fever, whether visitors and employees wear masks, whether hand disinfection when entering, and distance. It is possible to provide a notification function for public place quarantine and hygiene management by analyzing related data including hygiene management status of each public place including the maintenance degree and information update period data.

The country-specific data input terminal 500 serves to collect data necessary for predicting confirmed cases for each country and transmit the data to the country-specific confirmed case prediction server 200.

The country-specific confirmed case prediction server 200 generates a neural network model for the data received from the country-specific data input terminal 500 to predict the country-specific confirmed case, and the user terminal 10 and the integrated management server 100 Provides information on predicting confirmed cases by country.

The region-specific data input terminal 600 serves to collect data necessary for predicting confirmed patients for each region and transmit the data to the domestic region-specific confirmed case prediction server 300.

The domestic regional confirmed case prediction server 300 generates a neural network model for the data received from the regional data input terminal 600 to predict the domestic case-by-region, and provides the user terminal 10 and the integrated management server 100 to the user terminal 10 and the integrated management server 100. Provides information on predicting confirmed cases by region.

The quarantine management server 400 receives quarantine and hygiene management-related information from public institutions, updates quarantine and sanitation management information in real time, and provides quarantine and sanitation of public institutions based on geographic information at the request of the user terminal 10. It provides information on whether it is managed or not, and uses AI to provide safety levels for quarantine and hygiene management of the relevant public institution.

In one embodiment of the present invention, the integrated management server 100 compares and analyzes the increase data of confirmed cases in Korea with other countries through a graph of the number of confirmed cases by country, and informs the difference in period from the country with the most similar flow. Algorithm can be performed.

In the case of predicting an increase in the number of confirmed patients according to an embodiment of the present invention, a risk level may be divided rather than a simple numerical value to provide a predicted increase number accordingly. E.g,

Level 1: If there is no infectious disease spreading factor, Level 2: As usual, Level 3: Infectious disease spreading factor 3, Level 4: Infectious disease spreading factor is serious.

2 and 3 are diagrams for explaining the function of predicting the number of confirmed patients in the system for providing an infectious disease management application according to an embodiment of the present invention, and FIG. 5 is a view for explaining the function of predicting the number of confirmed patients in the system for providing an infectious disease management application according to an embodiment of the present invention. This is a diagram for explaining the function of notifying whether a place is quarantined and sanitary.

2 is a block diagram of a system for providing an infectious disease management application for implementing a function of predicting the number of confirmed patients by country.

Referring to FIG. 2, a configuration for implementing a function of predicting the number of confirmed patients by country in an infectious disease management application providing system is proposed.

In order to implement this function, the present invention configures a data set by collecting data such as the number of entrants in the country, diagnosis information for each country, floating population, news articles, and social network service (SNS).

The user terminal 10 and the country-specific confirmed person prediction server 200 communicate with each other through a wired or wireless communication network.

The country-specific confirmed case prediction server 200 includes a server communication unit 210, a neural network model generation unit 220, a confirmed case prediction unit 230, a global infectious disease information DB 240, and a data communication unit 250. Including.

The country-specific data input terminal 500 includes a data communication unit 510, a satellite information module 520, a entrant information module 530, a news information module 540, and an SNS information module 550.

In the case of predicting the number of confirmed cases by country, a country-specific data input terminal 500 that collects, processes, and transmits data necessary for prediction, and a neural network model suitable for the transmitted data is generated to predict a confirmed case, and a user terminal (10) It is configured to include a country-specific confirmed patient prediction server 200 that provides information to the integrated management server.

The country-specific data input terminal 500 includes a data communication unit 510, a satellite information module 520, a entrant information module 530, a news information module 540, and an SNS information module 550.

The data communication unit 510 serves to communicate data with the country-specific confirmed case prediction server 200. The country-specific confirmed person prediction server 200 requests data from the country-specific data input terminal 500 to periodically update the information.

The satellite information module 520 is based on a real-time satellite image, collects floating population information of each country, and transmits it to the country-specific confirmed case prediction server 200. The satellite information module 520 separates and transmits a floating population in an area where infectious diseases are frequently confirmed and a floating population in an area where there is almost no infectious disease confirmed, and allows the influence to be set differently.

The entrant information module 530 analyzes the entrant information database for entering each country and transmits it to the country-specific confirmed person prediction server 200. In the case of immigration information, the level is assigned differently according to the number of confirmed cases of new infectious diseases by country, and the entrant information according to the level is classified and transmitted.

The news information module 540 collects various news related to new infectious diseases from trusted media companies and transmits the status of infectious diseases in each country to the country-specific confirmed person prediction server 200.

The SNS information module 550 analyzes an SNS with mention of a new epidemic and transmits it to the country-specific confirmed case prediction server 200.

In the present invention, through news information and SNS information, it is possible to analyze the current status of whether each country is well coping with infectious diseases and the psychology of the people of each country.

The country-specific confirmed person prediction server 200 receives data from the country-specific data input terminal 500.

The country-specific confirmed case prediction server 200 includes a server communication unit 210, a neural network model generation unit 220, a confirmed case prediction unit 230, a global infectious disease information DB 240, and a data communication unit 250. .

The server communication unit 210 supports hardware and software protocols that communicate with the user terminal 10, and data communication may be performed according to an Internet protocol such as TCP/IP. The server communication unit 210 transmits information to the user terminal 10 as well as to the integrated management server 100. By doing this, data can be stored and stored in the confirmed person information DB 130 of the integrated management server 100.

The neural network model generation unit 220 inputs the data transmitted from the world infectious disease information DB 240 and the country-specific data input terminal 500 as training data for deep learning, and is a neural network for predicting confirmed cases by country. (neural network) model is created. Predictive models can be used to predict infectious diseases, including various calculation models dealing with complex nonlinear relationships between response variables and predictors, such as the SEIR model, which is a universal mathematical modeling method used for infectious disease prevention and prediction. The SEIR model is a predictive repair model for infectious diseases, taken from the letters of the English words meaning Suspectible, Exposed, Infectious, and Removed.

The confirmed case prediction unit 230 predicts the number of cases of increase in each country by using the model generated by the neural network model generation unit 220. For example, an increase from the day to 7 days may be predicted, and data for predicting the number of confirmed cases per country are transmitted to the user terminal 10 and the integrated management server 100.

The world infectious disease information DB 240 is a database that stores information on confirmed cases of countries around the world.

In the present invention, the confirmed case prediction unit 230 uses the data of the world infectious disease information DB together with the data collected by the country-specific data input terminal 500 when predicting the confirmed case. In addition, in the prediction of the number of confirmed patients by region in Korea, which will be described later, the influence of country-by-country information on foreign entrants may be used.

1 and 5, the integrated management server 100 includes an information providing module 110, a server communication module 120, a confirmed person information DB 130, a self-diagnosis information DB 140, a safety level information DB (150), including fake news information DB (160). Here, the parts used for predicting the number of confirmed patients are the information providing module 110, the server communication module 120, and the confirmed person information DB 13.

In an embodiment of the present invention, the information providing module 110 visualizes the prediction of the number of confirmed cases from the day to 7 days after each country transmitted from the country-specific confirmed case prediction server 200 as a line graph. However, in the case of the line graph, there is not enough space to display all countries, so only the five countries with the highest number of confirmed cases are displayed. If the country that falls within the 5th place in the number of confirmed cases changes the next day, only the country within the new 5th place is shown on the line graph. In addition, to inform users of the current status of the number of confirmed cases around the world, the number of real-time confirmed cases per continent is collected and displayed as an infographic on the map.

The server communication module 120 transmits the line graph and the map infographic to the user terminal 10.

In one embodiment of the present invention, information about an increase in the number of confirmed patients in each country for 7 days is stored in the confirmed patient information DB 130. Therefore, by comparing the data of the confirmed case information DB 130 and the global infectious disease information DB 240 of the country-specific confirmed case prediction server 200 in which the number of confirmed cases in each country is stored, check whether the predicted result is correct, and predict. If there is a difference between the and actual results by more than a certain number, the prediction model can be corrected and feedback can be made.

When the information displayed on the user terminal 10 is summarized, the number of confirmed patients and the predicted increase of confirmed patients in each country transmitted from the country-specific confirmed person prediction server 200 can be confirmed in a table. In addition, forecasts of the increase in the number of countries with the highest cumulative number of confirmed cases can be confirmed with a line graph on the table, and the status of the number of confirmed cases around the world can be checked at the top of the line graph with a map infographic.

3 is a block diagram of a system for providing an infectious disease management application for implementing a function of predicting the number of confirmed patients by region in Korea.

Referring to FIG. 3, a configuration for implementing a function of predicting the number of confirmed patients by domestic region in an infectious disease management application providing system is proposed.

In the present invention, in order to implement the function of predicting the number of confirmed persons by region in Korea, the number of overseas entrants in each region, the rate of group meetings in each region, the increase rate of confirmed persons by region, domestic news and articles, the amount of movement through vehicles and other means of transportation by region, and satellite A data set is formed by collecting data such as the amount of movement of people through it. Here, in the case of the number of foreign visitors, the status of the number of confirmed people by country is reflected, and the impact rate is set differently depending on which country they are entering.

The user terminal 10 and the confirmed patient prediction server 300 for each domestic region communicate through a wired or wireless communication network.

In the case of predicting the number of confirmed cases by region in Korea, a regional data input terminal 600 that collects, processes, and transmits data necessary for the prediction, and a neural network model suitable for the transmitted data is generated to predict the confirmed cases, and the user terminal ( 10) and the integrated management server 100 to provide information by sending a confirmed patient prediction server 300 for each region in Korea.

The regional data input terminal 600 includes a data communication unit 610, a satellite information module 620, an immigration information module 630, a news information module 640, and a traffic information module 650. The difference from the country-specific data input means 500 is that the traffic information module 650 is included instead of the SNS information module. In the case of predicting the number of confirmed cases by country, since information on countries other than the country needs to be collected, the data that can be collected is limited, so SNS information is collected to reflect the state of experience of the citizens of that country and the degree of response to the pandemic. do. However, since it is easier to collect data in Korea than overseas, the traffic information module 650 is included so that it can be used for predicting confirmed cases.

The data communication unit 610 of the regional data input terminal 600 serves to perform data communication with the domestic regional confirmed patient prediction server 300.

The satellite information module 620 serves to collect information on the floating population for each region based on a real-time satellite image. The satellite information module 620 may distinguish and transmit a floating population in an area where infectious diseases are frequently confirmed and a floating population in an area where there is little infectious disease confirmed, and may set different influences. For example, in the case of Corona 19, if there is a large floating population from Daegu area to other areas, the impact level is set very high, and when there is a large floating population from an area where few confirmed cases have occurred to other areas, the impact level is lower than the former. Can be set less.

The entrant information module 630 analyzes the entrant information database entering the country from abroad and transmits it to the domestic region-specific confirmed person prediction server 300. In this case, by referring to the global infectious disease information DB 240 in the country-specific confirmed case prediction server 200 above, different levels may be assigned according to the number of confirmed new infectious diseases, and the degree of impact may be set differently.

In the case of the news information module 640, it plays a role of collecting various news related to new infectious diseases from trusted media companies.

The traffic information module 650 variously collects the number and movement information of people who use public transport, the amount of traffic according to the infectious disease risk area, and the amount of public transport used during commuting time. For example, in an infectious disease-risk area with a large number of confirmed cases, when the use of public transportation during commute hours is high, the impact rate is set differently, and the impact rate is set differently and analyzed, and the information about this is analyzed by the domestic region-specific confirmed person prediction server (300 ).

The domestic region-specific confirmed person prediction server 300 receives data from the region-specific data input terminal 600.

The domestic region-specific confirmed case prediction server 300 includes a server communication unit 310, a neural network model generation unit 320, a confirmed case prediction unit 330, a domestic region-specific infectious disease information DB 340, and a data communication unit 350. do.

The server communication unit 310 serves to perform data communication with the user terminal 10 and the integrated management server 100.

The neural network model generation unit 320 generates a neural network model for predicting confirmed cases for each region by inputting data received from the infectious disease information DB 340 for each region and the data input terminal 600 for each region as training data for deep learning. In one embodiment of the present invention, the predictive model is used for predicting infectious diseases such as the SEIR model, which is a universal mathematical modeling method used for preventing and predicting infectious diseases, and the SIR-T model, which is an infectious disease spread model that combines national transport DB and SIR model. It includes a model calculated by a variety of prediction methods that can be made. The SIR model is a type of infectious disease spread model that means the stages of Susceptible, Infectious, and Recovered.

The confirmed case prediction unit 330 predicts the number of confirmed cases by region in Korea by using the model generated by the neural network model generation unit 320. For example, an increase can be predicted from the same day to 7 days later, and data for predicting the number of confirmed cases by domestic region are transmitted to the user terminal 10 and the integrated management server 100.

The domestic region-specific infectious disease information DB 340 is a database that stores information on confirmed patients by region. In the present invention, when predicting a confirmed person for each region in Korea, the data of the infectious disease information DB 340 for each region is used together with the data collected by the region data input terminal 600.

1 and 5, the integrated management server 100 includes an information providing module 110, a server communication module 120, a confirmed person information DB 130, a self-diagnosis information DB 140, a safety level information DB (150), including fake news information DB (160). Here, the parts used for predicting the number of confirmed patients are the information providing module 110, the server communication module 120, and the confirmed person information DB 13.

In an embodiment of the present invention, in the case of a line graph, the information providing module 110 displays only five areas with the highest number of confirmed patients. In addition, to inform users of the current status of the number of confirmed cases in Korea, the number of real-time confirmed cases by region is displayed as an infographic on the map.

The server communication module 120 transmits the line graph and the map infographic to the user terminal 10.

In the confirmed case information DB 130, information on predicting an increase in the number of confirmed cases by region for 7 days is stored. Therefore, by comparing the domestic regional prediction of the confirmed person information DB 130 with the data of the domestic regional infectious disease information DB 340 in which the actual number of confirmed cases by region is stored, and comparing and analyzing whether the prediction result is correct, feedback can be made.

When the information displayed on the user terminal 10 is summarized, the number of confirmed patients by domestic region and the prediction of the increase of confirmed patients transmitted from the domestic region-specific confirmed person prediction server 300 can be confirmed in a table. In addition, forecasts of the number of increases in the five regions with the highest cumulative number of confirmed cases can be checked in a line graph on the table, and the status of the number of confirmed cases by region in real time can be checked at the top of the screen with a map infographic.

4 is a flowchart illustrating a method of predicting the number of confirmed patients in the system for providing an infectious disease management application according to an embodiment of the present invention.

Referring to FIG. 4, the data input terminals 500 and 600 collect and process data, and transmit the data to the country-specific confirmed case prediction server 200 or the domestic area-specific confirmed case prediction server 300 (S410).

In addition, the country-specific confirmed patient prediction server 200 or the domestic area-specific confirmed case prediction server 300 generates a neural network model suitable for predicting a confirmed case (S420).

In addition, the number of confirmed patients predicting server 200 by country or the confirmed person predicting server 300 by region in Korea uses the data transmitted from the infectious disease information DB (240, 340) and data input terminals (500, 600) to increase the number of confirmed patients. Is predicted (S430).

Then, the country-specific confirmed person prediction server 200 or the domestic area-specific confirmed person prediction server 300 calculates a graph of a country or region corresponding to the fifth place, and generates a map infographic (S440).

Then, the country-specific confirmed person prediction server 200 or the domestic area-specific confirmed person prediction server 300 provides information to the user terminal 10 according to a communication protocol (S450).

FIG. 5 is a diagram for explaining a function of notifying whether public places quarantine and hygiene management exist in a system for providing an infectious disease management application according to an embodiment of the present invention.

In an embodiment of the present invention, in order to implement the notification function of public place quarantine and hygiene management in the system for providing an infectious disease management application, whether or not each public place is quarantined and whether each public place is hygiene management (visitors and staff check fever, visitor A data set is formed by collecting data such as whether or not an employee wears a mask, disinfects hands when entering, and maintains distance), and how often the information is updated by employees.

The user terminal 10, the quarantine management server 400, and the integrated management server 100 communicate through a wired or wireless communication network.

The quarantine management server 400 receives public institutions that update information about quarantine and hygiene management in real time and information that is updated by public institutions, and is sent to the user terminal 10 on whether or not quarantine and sanitation management of public institutions is based on geographic information. And suggests the AI (Artificial Intelligence) safety level.

The quarantine management server 400 includes a quarantine information DB 410, a geographic information DB 420, a safety level prediction unit 440, and a server communication unit 430.

The quarantine information DB 410 may generate, modify, and delete data in real time whenever a public institution updates whether or not quarantine and sanitation are updated. Public institution name and location information, quarantine information such as the latest quarantine time and quarantine history list, whether or not visitors and staff check fever for hygiene management, whether visitors and staff wear masks, hand disinfection when entering, and the degree of distance maintenance It is stored as a data type including In order to ensure that the data is updated in real time from all public institutions, it is possible to manage the information of all public institutions possible by using measures such as managing the data in cooperation with, for example, government agencies. In addition, when a version for public institutions is separately developed in the application to update the quarantine status, the quarantine company can confirm it and register it. In the case of hygiene management, in order to prevent a situation in which false information is updated in public institutions, a function that allows users to report the corresponding public institution with false information can be added.

The geographic information DB 420 stores map images to which GPS information of each public institution is applied. When the user terminal 10 calls the current location information to search for a nearby public institution, a map image is output by receiving a signal about the current location sent from a GPS satellite through GPS, and a specific public institution When searching for, a corresponding map image may be output by collecting the location coordinates of a corresponding public institution from the location information in the quarantine information DB 410.

The safety level prediction unit 440 predicts the AI safety level of a public place by using the latest quarantine time and quarantine period, and hygiene management status data of the public place, which are information stored in the quarantine information DB 410. The prediction model may be a calculation model using various statistical methods that can be used for reliability prediction, such as a time series prediction model using an index and an arithmetic-based classification model. The AI safety level can be classified into three levels, for example, high, medium, and low.

The server communication unit 430 serves to transmit geographic information, quarantine information, and AI safety level information to the user terminal 10. In the present invention, the same information is transmitted to the user terminal 10 through the server communication unit 430, and the same information is also transmitted to the integrated management server 100, so that AI safety level information, quarantine and hygiene management information of each public institution are integrated. can do.

The user terminal 10 may search for a specific public institution or search for a public institution near the current location. Then, the geographic information DB 420 receives the corresponding public place to form a map image, and retrieves the quarantine and sanitation management information from the quarantine information DB 410. In addition, the safety level prediction unit 440 quickly calculates the AI safety level. And, it provides information by transmitting geographic information of public places, quarantine and sanitation management information, and AI safety level to the user terminal 10 and the integrated management server 100.

In the case of a map image provided to a user in an embodiment of the present invention, as in other map applications, if the user is swiped with a touch, another area can be viewed, and when a specific place is clicked, it is notified of quarantine and hygiene management instead of a wayfinding function. By displaying the quarantine and hygiene management of each public place and AI safety level, it is possible to reduce the anxiety of those who go out, and this can prevent the local economic downturn to some extent.

In an embodiment of the present invention, when searching for a public institution through the user terminal 10, the quarantine management server 400 may provide information on the occurrence of confirmed patients in the area and surroundings, and set and provide a risk level.

In one embodiment of the present invention, when searching for a public institution through the user terminal 10, the quarantine management server 400 may also provide an emergency disaster alert in the area.

Specialized equipment for infectious disease management for infectious disease management can be installed at the entrance of public institutions. For example, there may be a device specializing in infectious disease management equipped with input of quarantine work performance, a visitor body temperature measuring device, recognition of whether a visitor is wearing a mask by vision, and a hand sterilizer.

In an embodiment of the present invention, a visitor's terminal is registered in an infectious disease management device, the location of the visitor terminal is determined through short-distance communication (wifi, bluetooth, beacon, etc.), and the distance between the visitor terminals is calculated, and is within a specific distance. In this case, an emergency warning sound can be transmitted to the corresponding visitor terminal.

6 to 8 are flowcharts illustrating a method of notifying whether public places quarantine and hygiene management exist in a system for providing an infectious disease management application according to an embodiment of the present invention.

6 is a flowchart illustrating a method of performing a quarantine function in the system for providing an infectious disease management application according to the present invention.

Referring to FIG. 6, a public institution accesses the quarantine management server 400 through an application for a public institution (S601), inputs information on a quarantine date and time, and a quarantine company to request an update of quarantine information (S603).

In addition, quarantine company authentication is performed (S605). If the quarantine company authentication fails, an error message is output (S607), and if the authentication is successful, quarantine information is transmitted to the quarantine management server 400, and quarantine information data is added to the quarantine information DB 410 (S609).

In addition, when the user terminal 10 searches for a corresponding public institution through GPS or search, the quarantine management server 400 provides the updated quarantine information to the user terminal 10 (S611).

In the present invention, if there is a falsehood among quarantine or sanitation management information of a public institution, the false information may be reported through the user terminal 10 (S613).

When a false information report is received through the user terminal 10, the administrator reviews it (S615). Then, when the report is received, the report information is transmitted to the quarantine management server 400, and related data is deleted from the quarantine management DB 410 (S617).

Then, the quarantine management server 400 guides the report processing information to the corresponding public institution (S619). For example, a warning message saying,'The report has been approved and the reflection of quarantine has been canceled' can be sent to the relevant public institution. In addition, if the report is received more than 3 times within a certain period,'service use may be restricted if there are 3 or more warnings.' Message can be sent.

7 is a flowchart illustrating a method of performing a quarantine function in the system for providing an infectious disease management application according to the present invention.

Referring to FIG. 7, a public institution accesses the quarantine management server 400 through an application for a public institution version (S701), and submits information such as a picture of hygiene management evidence to request an update of hygiene management information (S703).

At this time, it is checked whether or not the administrator has approved it (S705). If the administrator's approval fails, an error message is output (S707), and if the administrator approves, the hygiene management information is transmitted to the quarantine management server 400, and hygiene management information data is added to the quarantine information DB 410 (S709). ).

In addition, when the user terminal 10 searches for a corresponding public institution through GPS or search, the quarantine management server 400 provides the updated hygiene information to the user terminal 10 (S711).

In the present invention, if there is a false information in the quarantine or sanitation management information of a public institution, the false information may be reported through the user terminal 10 (S713).

When a false information report is received through the user terminal 10, the administrator reviews it (S715). Then, when the report is received, the report information is transmitted to the quarantine management server 400, and related data is deleted from the quarantine management DB 410 (S717).

Then, the quarantine management server 400 notifies the report processing matter to the corresponding public institution (S719). For example, a warning message stating,'The report has been approved and the reflection of whether or not quarantine/sanitary control has been canceled' can be sent to the relevant public institution. In addition, if the report is received more than 3 times within a certain period,'service use may be restricted if there are 3 or more warnings.' Message can be sent.

8 is a flowchart of a method for performing quarantine and hygiene management functions in the system for providing an infectious disease management application according to the present invention.

Referring to FIG. 8, a public institution accesses the quarantine management server 400 through an application for a public institution version (S801), inputs information such as quarantine date and time, quarantine company, etc. to request an update of quarantine information (S803, S805). ), and requests for hygiene management information update by submitting information such as pictures of evidence of hygiene management (S803, S809).

In addition, quarantine company certification is performed (S805). If the quarantine company authentication fails, an error message is output (S813), if the authentication is successful, quarantine information is transmitted to the quarantine management server 400, and quarantine information data is added to the quarantine information DB 410 (S815).

At this time, it is confirmed whether or not the administrator has approved (S811). If the manager's approval fails, an error message is output (S813), and if the manager approves, the hygiene management information is transmitted to the quarantine management server 400, and hygiene management information data is added to the quarantine information DB 410 (S815). ).

In addition, when the user terminal 10 searches for a corresponding public institution through GPS or search, the quarantine management server 400 provides updated quarantine information and hygiene management information to the user terminal 10 (S817).

In the present invention, if there is a falsehood in the quarantine or sanitation management information of a public institution, the false information may be reported through the user terminal 10 (S819).

When a false information report is received through the user terminal 10, the administrator reviews it (S821). Then, when the report is received, the report information is transmitted to the quarantine management server 400, and related data is deleted from the quarantine management DB 410 (S823).

Then, the quarantine management server 400 guides the report processing information to the corresponding public institution (S825). For example, a warning message saying,'The report has been approved and the reflection of whether or not quarantine and sanitation has been canceled' can be sent to the relevant public institution. In addition, if the report is received more than 3 times within a certain period,'service use may be restricted if there are 3 or more warnings.' Message can be sent.

9 to 12 are screen examples of a user terminal according to an embodiment of the present invention.

9 is an example of a screen when an application is executed in the user terminal 10, where (a) is a main screen, (b) is a prediction screen for the number of confirmed patients in the world, and (c) is a screen for predicting the number of confirmed patients by domestic region.

When a home-shaped icon 91 located at the first left in the lower menu bar of FIG. 9 is pressed, a screen (a) is displayed.

On the screen (a) of Fig. 9, a graph of the number of confirmed patients by date, which is easy to see the current increase in the number of confirmed patients at a glance, is placed at the top, and the core information, which is to be clearly visible, is test progress, domestic confirmed patients, quarantine release, and The number of deaths is indicated in a circle. In addition, there are two buttons under the core information: a'view forecast of the number of confirmed cases in the world' and a'view forecast of the number of confirmed cases by region in Korea'.

In the case of the'view prediction of the number of confirmed cases in the world' of Fig. 9(b), in order to first inform the current status of the number of confirmed cases around the world, the number of confirmed cases by continent is placed at the top on the world map, and the number of confirmed cases in the world is below. Display the predicted graph of. At this time, there is not enough space to display all countries on one graph, so only the five countries with the highest number of confirmed cases are displayed. In addition, although only the graph is displayed on the screen, if you scroll down, other countries can also be displayed so that you can check the prediction of the number of confirmed patients the next day.

If the countries that fall within the 5th place in the number of confirmed cases change, only the countries within the 5th place will appear on the graph the next day. In order to predict the spread of the disease, global diagnostic information, news articles, and even data such as social network services (SNS) are comprehensively considered. Predicting the number of confirmed cases in the world has the advantage of being able to compare the domestic growth trend with the global growth rate, and efficiently quarantine foreign immigrants mainly from countries with a high growth rate.

In the case of the'view predicted number of confirmed patients by domestic region' in Fig. 9(c), the top of the screen is displayed so that they can be viewed at a glance in the domestic map to inform the current status of the number of confirmed cases in the metropolitan area and major regions in Korea. Likewise, the forecast graph of the number of confirmed cases by region, which is ranked in the top 5 in Korea, is shown below. And if you scroll down, a table is added so that you can check the prediction of the number of confirmed patients on the next day in addition to the area that is ranked in the 5th place.If the area that falls within the 5th place in the number of confirmed cases changes, the next day, only the area within the new 5th place is graph Shown in. In addition, on the'View forecast of the number of confirmed cases in Korea', the date when the infection rate by each region and the total domestic infection becomes 0% is predicted and displayed. In order to predict, data such as the increase rate of confirmed cases, domestic news and articles, the amount of movement through vehicles and other means of transportation by region, the number of overseas entrants, the incidence of group meetings, and the amount of movement of people through satellites are collected. Here, the number of foreign visitors is reflected in the number of confirmed people by country, and the impact rate is set differently depending on which country they are entering. By predicting the number of confirmed cases by region in Korea, in areas where the number of confirmed cases is high, citizens will be able to alleviate the increase by refraining from going out, and even if they go out, they will refrain from group gatherings and better observe personal hygiene rules. In addition, if the date when the local infection rate becomes 0% is predicted, there is an advantage in that it is possible to efficiently respond to problems such as indefinitely delaying school opening/starting due to infectious diseases, cancellation of various events and exams (postponement).

10 is an example of a screen displaying a self-diagnosis function using AI-based lie detection, which is a second function in the infectious disease management application providing system of the present invention.

In FIG. 10, a self-diagnosis can be performed by pressing the test diagnosis paper icon button 92 located second from the left of the menu bar below. In the embodiment of FIG. 10, when taking an image, the self-diagnosing person feels a sense of rejection or is nervous and may appear to lie. In order to reduce the user's burden, a picture explaining by the character'Dong-Dong-i' is inserted.

The question of self-diagnosis remains the same as before, but the question is asked by voice guidance along with the subtitle, and the self-diagnosis's response is filmed for 6 seconds. In the video, data such as tremors and changes in the self-diagnostic's voice, number of eye blinks, pupil movement distance, pupil tremor, facial expression, direction of gaze (avoidance), and hand coming up to the face are collected. Find out if it is a statement.

The diagnosis target includes those who have been diagnosed with cure, and in this case, the probability of receiving a cure and reconfirmation is predicted. The execution screen and example are as follows.

After pressing the start shooting button,

Smart: From now on, I will start self-diagnosis. Please stand the phone camera so that you can see the front, and take a step back. If you have symptoms within 6 seconds after completing my question, please answer yes or no if not. Let's start with the question now. Did you have a fever of 37.5 degrees or higher today, or did you have any symptoms of fever?

Self-diagnosis: Yes/No

Smart: (6 seconds later) Did you have any cough symptoms today?

Self-diagnosis: Yes/No

Smart: (6 seconds later) Did you have a sore throat or sore throat today?

Self-diagnosis: Yes/No

Smart: (6 seconds later) Did you have any symptoms of shortness of breath or difficulty breathing today?

Self-diagnosis: Yes/No

Smart: (After 6 seconds) All questions are over. Thank you for responding.

Among self-isolators, in the case of suspected patients such as foreign immigrants or group infections, false statements can be reduced through this app.In the case of patients who have been diagnosed with cure, the probability of reconfirmation is predicted to appropriately determine the period of self-isolation for each patient. Can be adjusted. In order to use this menu, the user must log in to collect the self-diagnostic's data, and must authenticate himself before self-diagnosis.

11 is an example of a screen displaying a reliability score evaluation function of articles and posts, which is a third function in the system for providing an infectious disease management application according to the present invention.

In FIG. 11, when a news newspaper-shaped icon 93 located third from the left of the lower menu bar is clicked, only articles with a high reliability score among real-time issue articles are selected and displayed in a search box for searching at the top and at the bottom.

When a user enters a link to an article or post that is curious about the reliability level in the search box and presses the search button, a new screen appears and informs the reliability score of the article. In the present invention, in order to calculate a reliability score, a post author or reporter recently wrote, and data of a media company and a site are collected. For example, the percentage of words in the text that the subjective of an individual enters to determine whether it contains false content by comparing articles from other media companies on the same subject, and to distinguish whether it is an article that conveys only objective facts or an article that represents the subjectivity of a biased individual. Check how much it is.

FIG. 12 is an example of a screen displaying a GPS map and an AI safety level evaluation function notifying whether public places quarantine and sanitation, which are the fourth functions in the system for providing an infectious disease management application according to the present invention.

Referring to FIG. 12, when a GPS-shaped icon 94 located at the fourth from the left of the lower menu bar is pressed, a general map appears centered on the user's current location as shown in (a). To do this, the first time you run the app after installing the app, you need to obtain the user's consent for location services. And, when the user wants to go out, search for a public place to visit and click on it, a display indicating whether or not quarantine and hygiene is managed, as shown in (b), is displayed. In the case of quarantine, it is updated in real time, and it informs you when it was recently disinfected. In the case of hygiene management, whether visitors and staff check fever, whether visitors and staff wear masks, disinfect hands when entering, and the degree of distance maintenance. In addition, data on the latest disinfection time and hygiene management are collected, and the AI evaluates the safety level (high, medium, low) of each place and displays them together. As with other map applications, you can see other areas by swiping with a touch, and the present invention adds a function that informs whether or not quarantine and hygiene are managed instead of a wayfinding function when clicking on a specific place.

In this way, by displaying the quarantine and hygiene management in each public place, and AI safety level, it is possible to reduce the anxiety of people going out, and through this, it is possible to somewhat alleviate the regional economic downturn.

Although the present invention has been described using several preferred embodiments, these embodiments are illustrative and not limiting. Those of ordinary skill in the art to which the present invention pertains will understand that various changes and modifications can be made without departing from the spirit of the present invention and the scope of the rights set forth in the appended claims.

100 Integrated Management Server 200 Confirmation Prediction Server by Country
300 Confirmation prediction server for each region in Korea 400 Defense management server
500 data input terminals by country 600 data input terminals by region
10 User terminal

Claims (7)

In an infectious disease management application providing system that provides an infectious disease management application to a user terminal,
A terminal used by a user, comprising: a user terminal capable of communicating through a wired or wireless communication network;
As a server that provides an infectious disease management application to the user terminal, a function for predicting confirmed cases by country for a specific infectious disease, a function for predicting confirmed cases by region in Korea, a self-diagnosis function, a reliability evaluation function of articles and posts related to the infectious disease, and a public place quarantine department. An integrated management server that provides an infectious disease management application including a hygiene management notification function; And
Receive information on quarantine and sanitation management from public institutions, update quarantine and sanitation management information in real time, and provide information on whether or not quarantine and sanitation management of public institutions is based on geographic information at the request of the user terminal, It includes a quarantine management server that provides safety levels for quarantine and hygiene management of the public institution using AI,
In order to implement the notification function of quarantine and hygiene management in public places, the integrated management server has quarantine status in each public place, whether visitors and staff check heat, whether visitors and staff wear masks, hand disinfection when entering, and the degree of distance maintenance. Provides a notification function of public place quarantine and hygiene management by analyzing related data including hygiene management status and information update period data in each public place including,
The quarantine management server,
Whenever a public institution updates quarantine and hygiene management, it creates, modifies, and deletes quarantine and hygiene management-related data in real time, and includes quarantine information such as the latest quarantine time and quarantine history list, hygiene management status, visitors and employees Quarantine information DB stored in a data type including whether to check the fever of the patient, whether visitors and staff wear masks, whether to disinfect hands when entering, and how much distance is maintained;
Geographic information DB in which map images for applying GPS information of each public institution are stored;
A safety level prediction unit for predicting the AI safety level of a public place by using the latest quarantine time, quarantine period, and hygiene management data of the public place, which are information stored in the quarantine information DB; And
It includes a server communication unit for transmitting geographic information, quarantine information and AI safety level information to the user terminal, and at the same time transmitting the same information to the integrated management server,
When the user terminal searches for a specific public institution or a public institution near the current location, the quarantine management server receives the public place from the geographic information DB to form a map image, and the quarantine and sanitation from the quarantine information DB Retrieve management information, calculate AI safety level in the safety level prediction unit, and transmit geographic information of public places, quarantine and hygiene management information, and AI safety level to the user terminal and the integrated management server through the server communication unit. and,
A public institution accesses the quarantine management server through the version of the application for public institutions, requests the quarantine information update by entering quarantine information including the quarantine date and quarantine company, and submits information including a picture of hygiene management evidence to sanitize. Upon requesting management information update, the quarantine management server adds quarantine information data and hygiene management data to the quarantine information DB,
When the user terminal searches for a public institution through GPS or search, the quarantine management server provides updated quarantine information and hygiene management information of the public institution to the user terminal,
Through the user terminal, false information among quarantine or sanitation management information of a public institution can be reported to the quarantine management server, and the quarantine management server deletes the data related to the report from the quarantine information DB, and reports handling matters. Infectious disease management application providing system, characterized in that transmitting a message to guide public institutions.
The method according to claim 1,
The integrated management server analyzes related data including the number of entrants in each country, diagnosis information for each country, floating population for each country, news articles for each country, and social network service data for each country to predict the confirmed cases for each country. Infectious disease management application providing system, characterized in that providing a predictive function for each country in such a way that.
The method according to claim 2,
The infectious disease management application providing system,
A country-specific data input terminal for collecting data necessary for predicting confirmed cases by country and transmitting them to the country’s confirmed cases prediction server,
A country-specific confirmed case prediction server that predicts a country-specific case by generating a neural network model for data received from the country-specific data input terminal, and provides country-specific prediction information to the user terminal and the integrated management server.
Infectious disease management application providing system comprising a further.
The method according to claim 1,
The integrated management server includes related data including the number of overseas entrants in each region, the incidence rate of group meetings in each region, the increase rate of confirmed persons by region, domestic news and articles, the amount of movement through vehicles and other means of transportation by region, and the amount of movement of people through satellites. Analysis of the infectious disease management application providing system, characterized in that providing a predictive function for each domestic region.
The method of claim 4,
The infectious disease management application providing system,
A regional data input terminal for collecting data necessary for predicting confirmed cases for each region and transmitting them to a domestic regional confirmed case prediction server;
A domestic region-specific predictor prediction server that predicts a domestic region-specific patient by generating a neural network model for data received from the region-specific data input terminal, and provides the user terminal and the integrated management server with predictive information for each domestic region.
Infectious disease management application providing system comprising a further.
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